2023年4期
刊物介紹
《大氣和海洋科學(xué)快報》的辦刊宗旨和業(yè)務(wù)范圍為：充分展示我國大氣和海洋科學(xué)的研究成果，加強國內(nèi)外學(xué)術(shù)交流和探討，促進我國大氣和海洋科學(xué)事業(yè)的發(fā)展，為中國的科學(xué)發(fā)展和經(jīng)濟建設(shè)服務(wù)；辦刊方針是：立足國內(nèi)，面向國際，促進創(chuàng)新、追求精品；任務(wù)是：報道國內(nèi)外大氣和海洋科學(xué)的最新科研成果。 《大氣和海洋科學(xué)快報》將竭誠為國內(nèi)外大氣和海洋科學(xué)領(lǐng)域的科學(xué)家服務(wù)，也希望得到廣大專家、學(xué)者的大力支持，熱誠歡迎大家踴躍投稿！
Atmospheric and Oceanic Science Letters
Articles
- A machine learning approach to quality-control Argo temperature data
- U-Net：A deep-learning method for improving summer precipitation forecasts in China
- 3D DBSCAN detection and parameter sensitivity of the 2022 Yangtze river summertime heatwave and drought
- A spatiotemporal 3D convolutional neural network model for ENSO predictions：A test case for the 2020/21 La Ni?a conditions
- Intelligent identification of oceanic eddies in remote sensing data via Dual-Pyramid UNet
- Short-term wind speed forecasting bias correction in the Hangzhou area of China based on a machine learning model
- Wave forecast in the Atlantic Ocean using a double-stage ConvLSTM network
- Prediction of ENSO using multivariable deep learning
- A deep learning–based U-Net model for ENSO-related precipitation responses to sea surface temperature anomalies over the tropical Pacific
- Deep learning in extracting tropical cyclone intensity and wind radius information from satellite infrared images——A review